AI courses for modern practice
Search the merged catalog of free, paid, and price-not-stated AI, ML, robotics, simulation, agentic AI, evals, and AI engineering courses from the study guides plus vetted Microsoft, NVIDIA DLI, and Maven catalog sources.
Learn to build end-to-end medical AI workflows using the latest tools.
Assemble a virtual environment with robots and simulate and validate their basic movements with ROS (Robot Operating System) commands.
Learn how to accelerate ROS 2 workloads using NVIDIA’s latest GPU-powered libraries for AI and robotics.
Gain hands-on experience with Cosmos WFMs and tools to generate data to train physical AI.
A hands-on guide to creating, deploying, and extending 3D digital twin applications using NVIDIA Omniverse.
Gain hands-on experience in developing sophisticated AI-driven applications that can converse with healthcare data, assist researchers in clinical trials, and enhance clinician-patient interactions.
Explore how BioNeMo NIM Microservices and Blueprints can accelerate drug development, improve prediction accuracy, and enable more efficient analysis of biochemical data, showcasing real-world examples of their transformative potential in drug discovery.
Build, deploy, and scale domain-agnostic AI-enabled sensor processing applications.
Explore state-of-the-art AI weather prediction models and learn how to integrate them into custom workflows.
Learn how foundation models can reveal novel biological insights, while leveraging NVIDIA’s platform to accelerate the entire workflow for fast, scalable results.
Adding New Knowledge to LLMs
NVIDIA DLI
Transform open-source LLMs into domain-specialized AI assets.
As large language models (LLMs) and retrieval-augmented generation (RAG) systems become integral to enterprise AI applications, the need for rigorous, domain-aware evaluation grows rapidly.